Development of Kalman Filter based Algorithms for Fringe Pattern Analysis

dc.contributor.authorSharma, Shikha
dc.date.accessioned2024-08-14T09:16:56Z
dc.date.available2024-08-14T09:16:56Z
dc.date.issued2024
dc.descriptionSupervisor: Kulkarni, Vinayak Narayanen_US
dc.description.abstractThe purpose of fringe pattern analysis is to retrieve the phase from the fringe pattern. The phase retrieval is essential from the fringe pattern in order to derive the object information. Therefore, demand for the phase information has promoted the development of fringe analysis techniques. Spatial fringe analysis techniques typically involve different operations such as fringe denoising, fringe normalization, and fringe pattern demodulation for the phase estimation. In some cases, phase aberration compensation is also required to be performed. The thesis presents a number of spatial fringe processing algorithms based on the application of Kalman filter.en_US
dc.identifier.otherROLL NO.196102012
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2689
dc.language.isoenen_US
dc.relation.ispartofseriesTH-3437;
dc.subjectFringe Analysisen_US
dc.subjectFringe Denoisingen_US
dc.subjectFringe Pattern Normalizationen_US
dc.subjectFringe Pattern Demodulationen_US
dc.subjectPhase Estimationen_US
dc.subjectSpeckle Noiseen_US
dc.subjectKalman Filteren_US
dc.subjectExtended Kalman Filteren_US
dc.titleDevelopment of Kalman Filter based Algorithms for Fringe Pattern Analysisen_US
dc.typeThesisen_US
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